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Decomposition and Decoupling Analysis of Carbon Emissions in Xinjiang Energy Base, China

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  • Jiancheng Qin

    (College of Surveying and Environment, Henan Polytechnic Institute, Nanyang 473000, China
    State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China)

  • Lei Gao

    (College of Surveying and Environment, Henan Polytechnic Institute, Nanyang 473000, China)

  • Weihu Tu

    (School of Economics and Management, Hami Open University, Hami 839000, China)

  • Jing He

    (Nanyang Experimental Middle School, Nanyang 473000, China)

  • Jingzhe Tang

    (College of Surveying and Environment, Henan Polytechnic Institute, Nanyang 473000, China)

  • Shuying Ma

    (College of Surveying and Environment, Henan Polytechnic Institute, Nanyang 473000, China)

  • Xiaoyang Zhao

    (College of Surveying and Environment, Henan Polytechnic Institute, Nanyang 473000, China)

  • Xingzhe Zhu

    (College of Surveying and Environment, Henan Polytechnic Institute, Nanyang 473000, China)

  • Karthikeyan Brindha

    (Hydrogeology Working Group, Institute of Geological Sciences, Freie Universität Berlin, 12249 Berlin, Germany)

  • Hui Tao

    (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China)

Abstract

China faces a difficult choice of maintaining socioeconomic development and carbon emissions mitigation. Analyzing the decoupling relationship between economic development and carbon emissions and its driving factors from a regional perspective is the key for the Chinese government to achieve the 2030 emission reduction target. This study adopted the logarithmic mean Divisia index (LMDI) method and Tapio index, decomposed the driving forces of the decoupling, and measured the sector’s decoupling states from carbon emissions in Xinjiang province, China. The results found that: (1) Xinjiang’s carbon emissions increased from 93.34 Mt in 2000 to 468.12 Mt in 2017. Energy-intensive industries were the key body of carbon emissions in Xinjiang. (2) The economic activity effect played the decisive factor to carbon emissions increase, which account for 93.58%, 81.51%, and 58.62% in Xinjiang during 2000–2005, 2005–2010, and 2010–2017, respectively. The energy intensity effect proved the dominant influence for carbon emissions mitigation, which accounted for −22.39% of carbon emissions increase during 2000–2010. (3) Weak decoupling (WD), expansive coupling (EC), expansive negative decoupling (END) and strong negative decoupling (SND) were identified in Xinjiang during 2001 to 2017. Gross domestic product (GDP) per capita elasticity has a major inhibitory effect on the carbon emissions decoupling. Energy intensity elasticity played a major driver to the decoupling in Xinjiang. Most industries have not reached the decoupling state in Xinjiang. Fuel processing, power generation, chemicals, non-ferrous, iron and steel industries mainly shown states of END and EC. On this basis, it is suggested that local governments should adjust the industrial structure, optimize energy consumption structure, and promote energy conservation and emission reduction to tap the potential of carbon emissions mitigation in key sectors.

Suggested Citation

  • Jiancheng Qin & Lei Gao & Weihu Tu & Jing He & Jingzhe Tang & Shuying Ma & Xiaoyang Zhao & Xingzhe Zhu & Karthikeyan Brindha & Hui Tao, 2022. "Decomposition and Decoupling Analysis of Carbon Emissions in Xinjiang Energy Base, China," Energies, MDPI, vol. 15(15), pages 1-18, July.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:15:p:5526-:d:875862
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